This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Clustering is a promising application technique for many fields including data mining, pattern recognition, image processing, compression and other business applications.
数据聚类在数据挖掘、模式识别、图像处理和数据压缩等领域有着广泛的应用。
应用推荐